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<h3 class="navbar-left"><strong>ggplot2</strong> extensions</h3>

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ggplot2 now has an official extension mechanism. This means that others can now easily create their own stats, geoms and positions, and provide them in other packages. This should allow the ggplot2 community to flourish, even as less development work happens in ggplot2 itself. This page showcases these extensions.

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<h5 class="list-group-item-heading">ggiraph</h5>

<p class="list-group-item-text">Make ggplot interactive</p>

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<p class="list-group-item-text">Miscellaneous extensions to ggplot2</p>

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<p class="list-group-item-text">radar charts with ggplot2</p>

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<p class="list-group-item-text">A phylogenetic tree viewer</p>

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<p class="list-group-item-text">Seasonal adjustment on the fly</p>

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<h3>ggnet</h3>

<p><a href="https://github.com/briatte/ggnet" class="uri">https://github.com/briatte/ggnet</a></p>

<p>The <em>ggnet2</em> function is a visualization function to plot network objects as <strong>ggplot2</strong> objects. It accepts any object that can be coerced to the <strong>network</strong> class, including adjacency or incidence matrices, edge lists, or one-mode <strong>igraph</strong> network objects.</p>

<pre class="r"><code># Example from http://briatte.github.io/ggnet/

library(ggplot2)

library(ggnet)

library(ggnetwork)

# Let’s define a small random graph to illustrate each component of ggnetwork:

library(network)

library(sna)

n = network(rgraph(10, tprob = 0.2), directed = FALSE)

# Let’s now add categorical and continuous attributes for both edges and vertices

n %v% &quot;family&quot; = sample(letters[1:3], 10, replace = TRUE)

n %v% &quot;importance&quot; = sample(1:3, 10, replace = TRUE)

# We now add a categorical edge attribute called &quot;type&quot;,

# which is set to either &quot;x&quot;, &quot;y&quot; or &quot;z&quot;, and a continuous vertex

# attribute called &quot;day&quot;, which is set to either 1, 2 or 3.

e = network.edgecount(n)

set.edge.attribute(n, &quot;type&quot;, sample(letters[24:26], e, replace = TRUE))

set.edge.attribute(n, &quot;day&quot;, sample(1:3, e, replace = TRUE))

# Let’s now draw the network edges using geom_edges

# theme_blank

ggplot(data = ggnetwork(n), aes(x = x, y = y, xend = xend, yend = yend)) +

geom_edges(aes(linetype = type), color = &quot;grey50&quot;) +

theme_blank()</code></pre>

<p><img src="ggnet_files/figure-html/unnamed-chunk-1-1.png" title="" alt="" width="576" /></p>

<pre class="r"><code># Let’s now draw the nodes using geom_nodes

ggplot(data = ggnetwork(n), aes(x = x, y = y, xend = xend, yend = yend)) +

geom_edges(aes(linetype = type), color = &quot;grey50&quot;) +

geom_nodes(aes(color = family, size = importance)) +

theme_blank()</code></pre>

<p><img src="ggnet_files/figure-html/unnamed-chunk-1-2.png" title="" alt="" width="576" /></p>

<pre class="r"><code># Let’s now add node labels.

ggplot(data = ggnetwork(n), aes(x = x, y = y, xend = xend, yend = yend)) +

geom_edges(color = &quot;black&quot;) +

geom_nodes(color = &quot;black&quot;, size = 8) +

geom_nodetext(aes(color = family, label = LETTERS[ vertex.names ]), fontface = &quot;bold&quot;) +

theme_blank()</code></pre>

<p><img src="ggnet_files/figure-html/unnamed-chunk-1-3.png" title="" alt="" width="576" /></p>

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